John H. Holmes, PhD, FACE, FACMI, FIAHSI
Professor of Medical Informatics in Epidemiology in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
Senior Fellow, Leonard Davis Institute of Health Economics, Wharton School, University of Pennsylvania
Senior Scholar, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine
Senior Fellow, Center for Public Health Initiatives, School of Medicine
University of Pennsylvania
Associate Director for Medical Informatics, Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine
Department: Biostatistics and Epidemiology
Graduate Group Affiliations
Contact information
401 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
423 Guardian Drive
Philadelphia, PA 19104
Office: 215-898-4833
Fax: 215-573-5325
Fax: 215-573-5325
Publications
Education:
A.B. (Sociology)
University of Pennsylvania, 1976.
M.S. (Information Systems)
Drexel University, 1987.
Ph.D. (Information Science)
Drexel University, 1996.
Permanent linkA.B. (Sociology)
University of Pennsylvania, 1976.
M.S. (Information Systems)
Drexel University, 1987.
Ph.D. (Information Science)
Drexel University, 1996.
Description of Research Expertise
medical informatics; data mining; evolutionary computation; machine learning; artificial intelligence; database design and implementation for clinical research; medical decision making;Selected Publications
Moutchia J, McClelland RL, Al-Naamani N, Appleby, Holmes JH, Minhas J, Mazurek JA, Palevsky HI, Ventetuolo CE, Kawut SM: Pulmonary arterial hypertension treatment: an individual participant data network meta-analysis. European Heart Journal Page: ehae049, Feb 2024.Getzen E, Tan AL, Brat G, Omenn GS, Strasser Z; Consortium for Clinical Characterization of COVID-19 by EHR (4CE) (Collaborative Group/Consortium); Long Q, Holmes JH, Mowery D: Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic. AMIA Annu Symp Proc Page: 942-950, Jan 2024.
Minhas J, Moutchia J, Al-Naamani N, Mazurek JA, Holmes JH, Appleby D, Smith KA, Fritz JS, Pugliese SC, Palevsky HI, Kawut SM: Electrocardiographic Abnormalities and Their Association with Outcomes in Randomized Clinical Trials of Pulmonary Arterial Hypertension. Ann Am Thorac Soc Jan 2024.
Bretzin AC, Schmitt AJ, Teel E, Holmes JH, Wiebe DJ, Beidler E: Parent and Youth Athlete Perceptions of Concussion Injury: Establishing a Factor Structur. Arch Clin Neuropsychol Jan 2024.
Sperotto F, Gutiérrez-Sacristán A, Makwana S, Li X, Rofeberg VN, Cai T, Bourgeois FT, Omenn GS, Hanauer DA, Sáez C, Bonzel CL, Bucholz E, Dionne A, Elias MD, García-Barrio N, González TG, Issitt RW, Kernan KF, Laird-Gion J, Maidlow SE, Mandl KD, Ahooyi TM, Moraleda C, Morris M, Moshal KL, Pedrera-Jiménez M, Shah MA, South AM, Spiridou A, Taylor DM, Verdy G, Visweswaran S, Wang X, Xia Z, Zachariasse JM; Consortium for Clinical Characterization of COVID-19 by EHR (4CE); Newburger JW, Avillach P: Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium. The Lancet eClinicalMedicine 64: 102212, Sep 2023.
Dagliati A, Strasser ZH, Hossein Abad ZS, Klann JG, Wagholikar KB, Mesa R, Visweswaran S, Morris M, Luo Y, Henderson DW, Samayamuthu MJ, Tan BWQ, Verdy G, Omenn GS, Xia Z, Bellazzi R; Consortium for Clinical Characterization of COVID-19 by EHR (4CE),; Murphy SN*, Holmes JH*, Estiri H* (* Co-senior author): Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study. The Lancet EClinicalMedicine 64: 102210, Sep 2023.
Pan HM, McClelland RL, Moutchia J, Appleby DH, Fritz JS, Holmes JH, Minhas J, Palevsky HI, Urbanowicz RJ, Kawut SM, Al-Naamani N: Heterogeneity of treatment effects by risk in pulmonary arterial hypertension. European Respiratory Journal 62(1): 2300190, Jul 2023.
Strasser ZH, Dagliati A, Shakeri Hossein Abad Z, Klann JG, Wagholikar KB, Mesa R, Visweswaran S, Morris M, Luo Y, Henderson DW, Samayamuthu MJ; Consortium for Clinical Characterization of COVID-19 by EHR (4CE); Omenn GS, Xia Z, Holmes JH, Estiri H, Murphy SN: A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework. PLOS Digit Health 2(7): e0000301, Jul 2023.
Zhang HG, Honerlaw JP, Maripuri M, Samayamuthu MJ, Beaulieu-Jones BR, Baig HS, L'Yi S, Ho YL, Morris M, Panickan VA, Wang X, Weber GM, Liao KP, Visweswaran S, Tan BWQ, Yuan W, Gehlenborg N, Muralidhar S, Ramoni RB; Consortium for Clinical Characterization of COVID-19 by EHR (4CE), CONSORTIA AUTHOR); Kohane IS, Xia Z, Cho K, Cai T, Brat GA: Potential pitfalls in the use of real-world data for studying long COVID. Nat Med 29(5): 1040-1042, May 2023.
Combi C, Facelli JC, Haddawy P, Holmes JH, Koch S, Liu H, Meyer J, Peleg M, Pozzi G, Stiglic G, Veltri P, Yang CC: The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming after the COVID-19. Journal of Healthcare Informatics Research 7(2): 169-202, May 2023.